Sumit serves as the chief data scientist in CGI Federal’s Emerging Technology Practice. He leads a team of data engineers and data scientists who are defining and driving technical direction of prospective business opportunities, and work with business stakeholders and client executives to develop overall enterprise data strategy. Sumit has a background in computer science with over 14 years of experience in architecting, designing and developing large-scale, data-centric and enterprise systems. He holds a B.S. and M.S. in Computer Science from Virginia Tech, and is a Ph.D. candidate in Computer Science at that university, with a focus on large-scale machine learning.
From this author
August 26, 2020 Catastrophic floods affect more than 40 million U.S. residents every year, killing dozens and causing tremendous property damage. An AI-enabled protototype developed through a public-private partnership might provide a path to better forecasting and warnings.Federal government
November 13, 2019 An organization must treat data as an asset in actuality, not just as an ideal. If it does not, that plus a lack of ownership and purpose surrounding data-driven functions makes it much harder to derive fast, high-quality actionable insights.Federal government
May 17, 2018 Government agencies collect, analyze and disseminate a large volume of data. While much attention has been paid in the past few years to how they collect and analyze data, less attention has been paid to how they disseminate and share (non-sensitive) data with the public. With the push for open ...